Publications (42) VERONICA BARROSO GARCIA publications

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2025

  1. Data augmentation in predictive maintenance applicable to hydrogen combustion engines: a review: Data Augmentation in Predictive Maintenance..: A. Schwarz et al.

    Artificial Intelligence Review, Vol. 58, Núm. 1

2024

  1. An Interpretable CNN-Transformer for Pediatric Sleep Apnea Diagnosis using ECG

    2024 13th Conference of the European Study Group on Cardiovascular Oscillations: Physiologically-Guided Signal Processing of Cardiovascular and Cerebrovascular Oscillations, ESGCO 2024

2023

  1. Detección automática de la apnea del sueño infantil utilizando técnicas de deep learning y explainable artificial intelligence en señales de flujo aéreo

    CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor

  2. Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals

    Diagnostics, Vol. 13, Núm. 20

2022

  1. Airflow Analysis in the Context of Sleep Apnea

    Advances in experimental medicine and biology, Vol. 1384, pp. 241-253

  2. Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea

    Advances in experimental medicine and biology, Vol. 1384, pp. 131-146

2021

  1. A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea

    IEEE Journal of Biomedical and Health Informatics, Vol. 25, Núm. 8, pp. 2906-2916

  2. Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea

    Entropy, Vol. 23, Núm. 8

  3. Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

    Computers in Biology and Medicine, Vol. 129

  4. Erratum to: Martín-montero et al. bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea. entropy 2021, 23, 1016

    Entropy

  5. Wavelet analysis of overnight airflow to detect obstructive sleep apnea in children

    Sensors, Vol. 21, Núm. 4, pp. 1-19

2020

  1. A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

    Scientific Reports, Vol. 10, Núm. 1

  2. Análisis del flujo aéreo nocturno mediante wavelets para la ayuda en el diagnóstico de la apnea del sueño infantil

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas

  3. Assessment of nocturnal autonomic cardiac imbalance in positional obstructive sleep apnea. A multiscale nonlinear approach

    Entropy, Vol. 22, Núm. 12, pp. 1-17

  4. Characterization of the dynamic behavior of neural activity in Alzheimer's disease: Exploring the non-stationarity and recurrence structure of EEG resting-state activity

    Journal of Neural Engineering, Vol. 17, Núm. 1

  5. Modelo de deep learning basado en la arquitectura Inception para el diagnóstico de la apnea del sueño infantil mediante la señal de oximetría .

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas

  6. Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis

    Computer Methods and Programs in Biomedicine, Vol. 183

2019

  1. Characterization of EEG Resting-state Activity in Alzheimer's Disease by Means of Recurrence Plot Analyses

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  2. Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2019, pp. 3555-3558

  3. Evaluación de la información espectral de las señales de flujo aéreo y saturación de oxígeno en sangre para la ayuda al diagnóstico de la apnea del sueño infantil

    Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019